Pinned Repositories
Abalone-Age-Prediction
Predicting Algae's age using different attributes and Machine Learning Algorithms for Regression Analysis.
Ads-Optimization
Optimizing the best Ads using Reinforcement learning Algorithms such as Thompson Sampling and Upper Confidence Bound.
Advanced-House-Price-Prediction
It is a Advanced Problem of Regression which requires advanced techniques of feature engineering, feature selection and extraction, modelling, model evaluation, and Statistics.
Aerial-Cactus-Identification
It is an Image Processing Challenge where we have to identify the Aerial Cactus using Deep Learning Techniques. I have used fastai library to make this work even easier.
Amazon-Alexa-Reviews
Using Natural Language Processing, Data Visualizations and Classification Algorithms of Machine Learning
Avito-Demand-Prediction-Challenge
It is a Competition for Regression Challenge held by Kaggle, It is based on a Avito Dataset whose size is 123GB which can be accessed from Kaggle, I have done Data Pre-processing, feature engineering, feature extraction, data visualization, machine learning, stacking and boosting
Big-Mart-Sales-Prediction
Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to Support it.
Black-Friday-Regression-Analysis
Predicting Prices for the products to be sold on Black Friday in US using Regression Analysis, Feature Engineering, Feature Selection, Feature Extraction and Data analysis - Data Visualizations.
Boston-House-Price-Predictions
The most basic data set available to practice the concepts of regression analysis and explore the most basic concepts of machine learning
WHO-Suicide-Statistics
Statistics for Suicide Analysis for all the countries in the world using Machine Learning Algorithms to find some interesting patterns, solutions and Clues about Suicides using Data Analysis and Data Visualizations
rkumar45's Repositories
rkumar45/Abalone-Age-Prediction
Predicting Algae's age using different attributes and Machine Learning Algorithms for Regression Analysis.
rkumar45/Advanced-House-Price-Prediction
It is a Advanced Problem of Regression which requires advanced techniques of feature engineering, feature selection and extraction, modelling, model evaluation, and Statistics.
rkumar45/Aerial-Cactus-Identification
It is an Image Processing Challenge where we have to identify the Aerial Cactus using Deep Learning Techniques. I have used fastai library to make this work even easier.
rkumar45/Avito-Demand-Prediction-Challenge
It is a Competition for Regression Challenge held by Kaggle, It is based on a Avito Dataset whose size is 123GB which can be accessed from Kaggle, I have done Data Pre-processing, feature engineering, feature extraction, data visualization, machine learning, stacking and boosting
rkumar45/Black-Friday-Regression-Analysis
Predicting Prices for the products to be sold on Black Friday in US using Regression Analysis, Feature Engineering, Feature Selection, Feature Extraction and Data analysis - Data Visualizations.
rkumar45/CareerCon-Robots-Need-Help
It is Data Science and Machine Learning Competition Hosted by Kaggle where we have to perform multi-class classification on the labels, a very good amount of feature engineering, data preprocessing, data visualizations and modelling is done on the data set to get a good accuracy using random forest and xg boost classifier
rkumar45/Churn-Modelling-Dataset
Predicting which set of the customers are gong to churn out from the organization by looking into some of the important attributes and applying Machine Learning and Deep Learning on it.
rkumar45/Coursera-Reviews-Analysis
It is a Natural Language Processing Problem where we have to decide the sentiments of the users who reviewed the course. and then classifying the reviews into positive and negative.
rkumar45/Don-t-Overfit
It is from Kaggle Competitions where the training dataset is very small and the testing dataset is very large and we have to avoid or reduce overfiting by looking for best possible ways to overcome the most popular problem faced in field of predictive analytics.
rkumar45/Education-Process-Mining
Mining Student's Performances through their results in final and intermediate exams using Machine Learning
rkumar45/Employee-Reviews
This is Project which contains Data Visualization, EDA, Machine Learning Modelling for Checking the Sentiments.
rkumar45/Fraud-Detection-in-Online-Transactions
Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting
rkumar45/Graduate-Admissions-Analysis
Analyzing the Factors on which Graduates get Admissions in Abroad and Visualizing some of the most intriguing and interesting patterns followed onto it using Data Analysis and Data Visualizations Using Machine Learning.
rkumar45/Heart-UCI-Dataset
Analyzing the Features which leads to heart diseases and visualizing the models' performance and important features using eli5, shap and pdp.
rkumar45/HR-Analytics
Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.
rkumar45/Insurance-Claim-Prediction
In this Data set we are Predicting the Insurance Claim by each user, Machine Learning algorithms for Regression analysis are used and Data Visualization are also performed to support Analysis.
rkumar45/Loan-Default-Prediction
L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’. where I have predicted whether the customer will be defaulter in the first EMI payment using different algorithms from machine learning
rkumar45/Loan-Prediction
Predicting whether a person who has applied for a loan in a bank would get his/her loan approved or not using Classification Algorithms in Machine Learning, by looking at some common and useful attributes.
rkumar45/Market-Basket-Analysis
Using Apriori Algorithm to do Market Basket Analysis of Customers purchasing behaviours. It can predict what the customer is going to buy next by looking at the products he is buying.
rkumar45/Online-Retail-Transactions-of-UK
Analyzing the Online Transactions in UK and the countries who are purchase stuff from them and analyzing the reviews from them using NLP and Machine Learning
rkumar45/Online-Shoppers-Purchasing-Intention
In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.
rkumar45/Pakistan-Suicide-Bombing-Dataset
Analyzing the Suicide Bombing Patterns and seeking some of the most tangled questions with good visualizations with the help of Machine Learning and Data Science.
rkumar45/Predict-Future-Sales
It is from a kaggle competition where we have to predict the future sales using Machine Learning or Deep Learning. It is a Advanced Regression Problem where Statistics and time series analysis is also required. This problem can be very well done by Deep Learning's Model Recurrent Neural Networks.
rkumar45/Predicting_Money_Spent_at_Resort
It is From Analytics Vidhya Hackathons, Sponsored by Club Mahindra. It is based on Regression Problem, Where Accuracy matters the most, It is measured by RMSE Score. Different Techniques such as Stacking, Ensembling, Boosting and Scientific Operations such box-cox Operations to reduce skewness of the data.
rkumar45/SECOM-Detecting-Defected-Items
Anamoly Detection for Detecting Defected Manufactured Semi-Conductors, as in this case of Classification, the Defected Chips would be very less in comparison to perfect Chips so we have apply either Over-Sampling or Under-Sampling.
rkumar45/Social-Networks-Ads
One of the most basic data sets to learn and implement some of the most easy and basic algorithms of machine learning and visualization
rkumar45/Spam-Detection
It is a Basic Natural Language Processing Project based on Sentiment Analysis, there are two types of mails Spam and Ham and we have to Classify them using Machine Learning and NLP Algorithms to detect the Spam Mails.
rkumar45/Stock-Market-Predictions
Predicting the stock market opening values using Deep learning's Model Recurrent Neural Networks which is a very powerful model.
rkumar45/Titanic-Passenger-Survival-Prediction
Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Learning to Predict who can Survive the attack of Tsunami.
rkumar45/World-Food-Production
Comparing Top food and feed Producers around the globe and also seeking some interesting answers, solutions, patterns, hints and warnings through the power of Data Analysis and Data Visualization using Machine Learning.